耕地“非农非粮化”遥感监测

利用多源遥感数据，使用图像分类与识别算法，以及变化检测技术，对耕地撂荒、耕地侵占、非粮作物种植等变化情况进行统计，及时提取并反馈违法变化图斑，满足大范围、高频次、快速耕地动态变化监测的需求

Built upon multi-source remote sensing data, this dataset adopts image classification and recognition algorithms and change detection technologies to statistically analyze changes including farmland abandonment, farmland encroachment and non-grain crop cultivation, timely extract and feed back illegal change patches, thereby meeting the requirements of large-scale, high-frequency and rapid dynamic monitoring of farmland changes.

搜集汇总

背景与挑战

背景概述

该数据集通过多源遥感数据和深度学习算法，实现对耕地地块、作物种植类型等的识别，满足大范围、高频次、快速耕地动态变化监测的需求。数据集由中科星图数字地球合肥有限公司提供，应用于卫星遥感领域。